{"name":"Qdrant","entity_type":"product","slug":"qdrant","category":"Vector Database","url":"https://qdrant.tech","description":"Vector similarity search engine. Filtering, payload storage, distributed deployment. Written in Rust.","ai_summary":null,"ai_features":[],"trust":{"score":1,"up":1,"down":0,"ratio":1,"evaluations":1,"verification_status":"unverified","verification_badges":[]},"metadata":{"content":"Vector similarity search engine. Filtering, payload storage, distributed deployment. Written in Rust.","crawled_problems":{"total":11,"by_source":{"github":10,"reddit":1,"stackoverflow":0},"crawled_at":"2026-03-27T04:48:38.583458+00:00","top_issues":[{"url":"https://github.com/qdrant/qdrant/issues/7967","state":"open","title":"ERROR qdrant::startup: Panic occurred in file /qdrant/lib/common/common/src/fixed_length_priority_queue.rs at line 40: length must be greater than zero","labels":["bug"],"source":"github","comments":8,"reactions":0,"created_at":"2026-01-22T07:55:28Z","body_preview":"## Current Behavior\nThe Qdrant server panics and crashes when processing a specific search request via gRPC. The error log indicates an assertion failure in `fixed_length_priority_queue.rs`, explicitly stating that the length must be greater than zero.\n\nThis issue persists even after:\n1. Upgrading t"},{"url":"https://github.com/qdrant/qdrant/issues/7956","state":"open","title":"Unable to restore snapshot v1.16.3 on Docker","labels":["bug"],"source":"github","comments":7,"reactions":0,"created_at":"2026-01-21T06:07:17Z","body_preview":"<!--- Provide a general summary of the issue in the Title above -->\n\n## Current Behavior\nI have a single node docker local setup running Qdrant 1.16.3. When uploading snapshots of the same version via [http](https://qdrant.tech/documentation/database-tutorials/create-snapshot/#restore-from-snapshot)"},{"url":"https://github.com/qdrant/qdrant/issues/8278","state":"open","title":"About Add fuzzy Match Support for Text Fields in Payload Filter","labels":[],"source":"github","comments":7,"reactions":0,"created_at":"2026-03-03T06:56:54Z","body_preview":"## Overview\n\nThis issue proposes adding **fuzzy match** support for text fields within the payload filter section. Fuzzy matching allows queries to tolerate minor spelling variations, typos, and OCR errors by leveraging the [Levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance) m"},{"url":"https://github.com/qdrant/qdrant/issues/8409","state":"open","title":"Nested filters are slow","labels":[],"source":"github","comments":6,"reactions":0,"created_at":"2026-03-16T07:39:56Z","body_preview":"**Is your feature request related to a problem? Please describe.**\nI have a collection of ~30M vectors with payloads that contain a field that is an array of objects. When we want to filter using it, we have to use a nested filter for correct behavior. Global search throughput on the same collection"},{"url":"https://github.com/qdrant/qdrant/issues/8111","state":"open","title":"Does incremental  indexing have any effect on recall.?","labels":[],"source":"github","comments":6,"reactions":0,"created_at":"2026-02-12T03:02:03Z","body_preview":"I have collection with 100k points indexing  threshold 10k kb and I noticed  reduced recall for top_k 1000 with payload filtering ( payload index is built ), it was not the case without  incremental indexing, also search latency increased from and average of 12ms to 23ms."}]}},"review_summary":{},"tags":[],"endpoint":"/entities/qdrant","schema_versions_supported":["2026-05-12"],"agent_endpoint":"https://api.nanmesh.ai/entities/qdrant?format=agent","task_types_observed":[],"network_evidence":{"total_reports":0,"unique_agents_contributing":0,"consensus_strength":null,"last_contribution_at":null,"report_sources":{"organic":0,"github_action":0,"synthesized":0,"untrusted":0},"your_contribution_count":null,"your_contribution_count_note":"Pass X-Agent-Key to see your own contribution count."}}